沈阳航空航天大学学报2023，Vol.40Issue(5)：75-81,7.DOI:10.3969/j.issn.2095-1248.2023.05.010
高空台空气起动系统的无模型自适应迭代学习控制
Model-free adaptive iterative learning control for high-altitude air-starting system
摘要
Abstract
Aiming at the problems of nonlinearity,strong coupling,large delay and uncertainty of the air-starting system at high-altitude,a model-free adaptive iterative learning control algorithm for air-start-ing system based on Smith estimation was proposed.Firstly,the Smith estimator was used to estimate and compensate for the system delay error.Secondly,based on the input and output data of the system,the dynamic linearized data model of the high-altitude platform air starting system was obtained.Final-ly,a model-free adaptive iterative learning control method for the high-altitude platform air starting sys-tem was proposed,which continuously updated the control law for each round to achieve rapid and ac-curate adjustment of the system.Simulation results show that with the increasing of iteration times,the proposed method can reduce the system tracking error and correct the system output tracking trajectory.Meanwhile,compared to the simple model-free adaptive iterative learning control algorithm,the dy-namic performance of the system is improved significantly after joining Smith estimator,which verifies the feasibility and effectiveness of the proposed algorithm.关键词
高空台空气起动系统/无模型自适应控制/迭代学习控制/Smith估计器/延迟系统Key words
high-altitude platform air starting system/model-free adaptive control/iterative learning control/Smith estimator/delay system分类
航空航天引用本文复制引用
岑游彬,齐义文,李鑫,彭晋,李贺..高空台空气起动系统的无模型自适应迭代学习控制[J].沈阳航空航天大学学报,2023,40(5):75-81,7.基金项目
国家自然科学基金(项目编号:62003223) （项目编号:62003223）
航空发动机及燃轮机基础科学中心项目(项目编号:P2022-B-V-001-001) （项目编号:P2022-B-V-001-001）
